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Algoleap Technologies
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Data Engineer (Snowflake)

Data Engineer (Snowflake)

Algoleap Technologies

2 - 7 years

4 - 7 Lacs

Hyderabad

Posted:4 days ago| Platform:

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Skills Required

Automation Data analysis Data modeling Analytical Data quality Apache SQL Python Data architecture Technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job_Description":" Data Engineer Position Overview
Role Summary

We are searching for a talented and motivated Data Engineerto join our team. The ideal candidate will have expertise in data modeling,analytical thinking, and developing ETL processes using Python. In this role,you will be pivotal in transforming raw data from landing tables into reliable,curated master tables, ensuring accuracy, accessibility, and integrity withinour Snowflake data platform.
Main Responsibilities

Design, Develop, and Maintain ETL Processes:

Build and maintain scalable ETL pipelines inPython to extract, transform, and load data into Snowflake master tables.Automate data mastering, manage incremental updates, and ensure consistencybetween landing and master tables.

Data Modeling:

Create and optimize logical and physical datamodels in Snowflake for efficient querying and reporting. Translate businessneeds into well-structured data models, defining tables, keys, relationships,and constraints.

Analytical Thinking and Problem Solving:

Analyze complex datasets, identify trends, andwork with analysts and stakeholders to resolve data challenges. Investigatedata quality issues and design robust solutions aligned with business goals.

Data Quality and Governance:

Implement routines for data validation,cleansing, and error handling to ensure accuracy and reliability in Snowflake.Support the creation and application of data governance standards.

Automation and Optimization:

Seek automation opportunities for dataengineering tasks, enhance ETL processes for performance, and scale systems asdata volumes grow within Snowflake.

Documentation and Communication:

Maintain thorough documentation of data flows,models, transformation logic, and pipeline configurations. Clearly communicatetechnical concepts to all stakeholders.

Collaboration:

Work closely with data scientists, analysts, andengineers to deliver integrated data solutions, contributing tocross-functional projects with your data engineering expertise.
Required Qualifications

Bachelors or Masters degree in ComputerScience, IT, Engineering, Mathematics, or related field

At least 2 years of experience as a DataEngineer or similar role

Strong Python skills, including experiencedeveloping ETL pipelines and automation scripts

Solid understanding of relational anddimensional data modeling

Experience with Snowflake for SQL, schemadesign, and managing pipelines

Proficient in SQL for querying and data analysisin Snowflake

Strong analytical and problem-solving skills

Familiarity with data warehousing and bestpractices

Knowledge of data quality, cleansing, andvalidation techniques

Experience with version control systems like Gitand collaborative workflows

Excellent communication, both verbal and written
Preferred Qualifications

In-depth knowledge of Snowflake features likeSnowpipe, Streams, Tasks, and Time Travel

Experience with cloud platforms such as AWS,Azure, or Google Cloud

Familiarity with workflow orchestration toolslike Apache Airflow or Luigi

Understanding of big data tools like Spark,Hadoop, or distributed databases

Experience with CI/CD pipelines in dataengineering

Background in streaming data and real-timeprocessing

Experience deploying data pipelines inproduction
Sample Responsibilities in Practice

Develop automated ETL pipelines in Python toingest daily CSVs into a Snowflake landing table, validate data, and mergeclean records into a master table, handling duplicates and change tracking.

Design scalable data models in Snowflake tosupport business intelligence reporting, ensuring both integrity and queryperformance.

Collaborate with business analysts to adapt datamodels and pipelines to evolving needs.

Monitor pipeline performance and troubleshootinconsistencies, documenting causes and solutions.
Key Skills and Competencies

Technical Skills: Python (including pandas,SQLAlchemy); Snowflake SQL and management; schema design; ETL processdevelopment

Analytical Thinking: Ability to translatebusiness requirements into technical solutions; strong troubleshooting skills

Collaboration and Communication: Effective teamplayer; clear technical documentation

Adaptability: Willingness to adopt newtechnologies and proactively improve processes
Our Data Environment

Our organization manages diverse data sources,including transactional systems, third-party APIs, and unstructured data. Weare dedicated to building a top-tier Snowflake data infrastructure foranalytics, reporting, and machine learning. In this role, you will influenceour data architecture, implement modern data engineering practices, andcontribute to a culture driven by data.
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Data Engineer (Snowflake)